class GyanamJain {
constructor() {
this.name = "Gyanam Jain";
this.location = "Bhopal, India";
this.education = {
degree: "B.Tech in Computer Science",
university: "VIT Bhopal University",
cgpa: "8.59/10.0",
graduation: "May 2026"
};
this.roles = ["Full Stack Developer", "AI/ML Enthusiast"];
this.currentFocus = "Building scalable full-stack applications with AI integration";
}
getDailyRoutine() {
return [
"☕ Code",
"🧠 Solve DSA problems",
"🚀 Build full-stack apps",
"🤖 Experiment with ML models",
"🔁 Repeat"
];
}
getAchievements() {
return {
dsa: "300+ problems solved (LeetCode, CodeChef, Codeforces)",
openSource: "Hacktoberfest 2025 Super Contributor",
mlAccuracy: "90% CNN accuracy | 87% LSTM+SVM accuracy",
optimization: "40% API latency reduction"
};
}
}
const me = new GyanamJain();
console.log("Let's build something amazing! 🚀");
Deccan AI Experts | December 2025 – January 2026 | Remote
- 📊 Delivered human feedback for supervised fine-tuning across 20+ annotation tasks
- ✅ Maintained 98% consistency adherence in human-in-the-loop workflows
- 🎯 Assessed prompt-response quality for accuracy, coherence, and contextual appropriateness
EveryEng | November 2025 – January 2025 | Remote
- 🔍 Analyzed customer requirements across 10+ use cases, improving operational workflows
- 📈 Conducted market analysis across 50+ companies, increasing lead qualification by 35%
- 🤝 Facilitated Agile sprint planning and cross-functional coordination across 3 teams
|
Next-gen market research tool with local LLM integration
Stack: Python, PyQt5, Ollama, Plotly, BeautifulSoup
|
Complete business automation platform
Stack: React.js, Node.js, Express.js, MySQL
|
|
Hybrid ML system for real-time text analysis
Stack: Python, TensorFlow, Flask, LSTM, SVM
|
Personal portfolio showcasing projects
Stack: TypeScript, React.js
|
current_goals:
primary: "Building production-ready full-stack applications"
secondary: "Integrating ML models into web applications"
learning:
- Advanced React patterns & Next.js
- Microservices architecture
- Cloud deployment (AWS, Docker)
- MLOps & model deployment
interests:
full_stack:
- RESTful API design
- Database optimization
- Authentication & authorization
- Real-time features
- Performance optimization
ml_ai:
- Natural Language Processing
- Computer Vision (CNN)
- Model deployment & serving
- Healthcare AI applications
fundamentals:
- Data Structures & Algorithms (300+ problems solved)
- System Design
- Clean Code principles- ❌ Merged PR #4 in Balaji-Nirmit/Pegasus---A-market-researcher
- 💪 Opened PR #4 in Balaji-Nirmit/Pegasus---A-market-researcher
- 💪 Opened PR #3 in Balaji-Nirmit/Pegasus---A-market-researcher
- 💪 Opened PR #2 in Balaji-Nirmit/Pegasus---A-market-researcher
- ❌ Merged PR #1 in Balaji-Nirmit/Pegasus---A-market-researcher
